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CoreLogic’s Property Data Science team provides unique industry insights based on comprehensive property intelligence data and climate-risk analytics, paired with our data scientists’ deep knowledge and research. The Property Data Science team is an industry leader in the artificial intelligence (AI) and machine learning (ML) spaces and focuses on developing models that best serve CoreLogic’s clients.
The Property Data Science team builds products based on a scientific, data-driven approach and a client-focused mindset. The team enables clients to make better, more confident decisions by providing comprehensive, data-centric solutions that cover the entire property ecosystem.
Shifts in weather risks for homes inside and outside the extreme heat belt can change homeowners’ insurance pricing, availability, and affordability.
CoreLogic’s climate-coupled-catastrophe models help make informed decisions, developing robust risk mitigation strategies, and adapting to our changing environment.
Properties in the region with higher wildfire risks sell for less and appreciate at a slower rate, according to CoreLogic data.
California properties located close to wildfire exposure experienced much slower appreciation than others. Core Logic’s Property Data Science team digs into the numbers in this new analysis.
